similar to: multicomp functions that in S but not in R

Dear R people, I have heard rumors of a function called (I believe) multicomp in S+ for doing multiple comparisons for linear models. It doesn't seem to be in the version of R I am using, 0.90.0. Is there something equivalent to this in R, or does it simply not exist? I see there is are more recent versions of R. For my platform, SuSE Linux, the most recent rpm available appears to be

Is there a fonction for multiple comparison tests (similar to "multicomp" in Splus) in a package of R? Thanks in advance for any hint... Cheers, Patrick Giraudoux University of Franche-Comté Department of Environmental Biology EA3184 af. INRA F-25030 Besançon Cedex tel.: +33 381 665 745 fax.: +33 381 665 797 http://lbe.univ-fcomte.fr [[alternative HTML version deleted]]

Dear list members, First of all thank you for your helpful advices. After your answeres to my firt mail I studied a lot (R-News n?5) and I tried to perform my analysis: First, to fit a GLM with a nested design I decided to use the function "lmer" in package "lme4" as suggested by Spencer Graves and Filippo Piro. I remember to you that my data were: land use classes, 3 levels

I suppose that multcomp in R and multicomp in S-Plus are related and it appears that it is possible to use multicomp with lme in S-Plus given the following correspondence on s-news sally.rodriguez at philips.com 12:57 p.m. 24/04/03 -0400 7 [S] LME summary and multicomp.default() Is it possible to use multicomp with lme in R and if so what is the syntax from a simple readily available

Dear R-People I did some two way variance analysis and have now the following problem: I''d like to do some multiple Comparisons between different factor levels (two factors, each with some 5 or 6 levels), because there are some significant interactions between these two factors. In S-plus 5, there is the function "multicomp", but in R, there ist no matchable funktion, as far

[Moderator: This was erronously sent to R-announce, and filtered fortunately ] Hi, This is my first time to use R. I'm wondering which function I can use to do multiple comparison. I have an lm object and want to do multiple comparison based on this object. Splus has a function multicomp() but I could not find a similar one in R. Thanks in advance. Really appreciate it. Julie

Hello, Is there an option I can easily set to put labels next to the points in a simple plot? The closest I got to it was to use the option pch, but this replaces the point symbol with the character specified, and it is not what I want. Thanks -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I'm having trouble finding an R equivalent to the S-Plus "multicomp" function, which does post-hoc comparisons of treatments means in ANOVAs. Am I missing something obvious? Thanks, Peter ------------------------ Peter Adler, PhD Dept. Ecology, Evolution and Marine Biology University of California Santa Barbara, CA 93106 tel: (805) 893-7416

Dear R-listers, I am trying to compute simultaneous confidence intervals with simint from the package multcomp. 230 measures (abundance) have been taken in 23 sites (factor) of a data.frame (donnees: a file can be sent on request, saved with save(donnees,file="donnees")). I would like to get all pairwise comparisons with : mc<- simint(ren~ID,type="Tukey",data=donnees) I

So I've come across a few cases where complex outputs from functions will not write to tables. The most recent case involves the TukeyHSD function in the stats package. If I save the TukeyHSD call and print it, that obviously goes fine, but when I try writing to a table, I get an error message that says "cannot coerce class \multicomp\" into dataframe. What does this mean, and

> x11() > dev.off() null device 1 > x11() > plot.new() Warning messages: 1: X11 protocol error: BadAccess (attempt to access private resource denied) 2: X11 protocol error: BadAccess (attempt to access private resource denied) This only happens if all x11 devices are shut down, so the X11 connection is restarted. We had problems with this when the event handlers were

Version: platform = sparc-sun-solaris2.6 arch = sparc os = solaris2.6 system = sparc, solaris2.6 status = status.rev = 0 major = 0 minor = 64.2 year = 1999 month = July day = 3 language = R -- It is unclear to me that the handling of NAs is desirable, and it has problems with names: > z <- c(T,T,NA,F,T) > names(z) <- letters[1:5] > which(z) Error: names attribute

Hello fellow R users, I am having a problem finding the estimates for some overall treatment effects for my mixed models using 'lme' (package nlme). I hope someone can help. Firstly then, the model: The data: Plant biomass (log transformed) Fixed Factors: Treatment(x3 Dry, Wet, Control) Year(x8 2002-2009) Random Factors: 5 plots per treatment, 5 quadrats per plot (N=594 (3*5*5*8)

Hi I have some experimental data where I have counts of the number of insects collected to different trap types rotated through 5 different location (variable -location), 4 different chemical attractants [A, B, C, D] were applied to the traps (variable - semio) and all were trialled at two different CO2 release rates [1, 2] (variable CO2) I also have a selection of continuous variables

Hey there. I've been working on a project to integrate Asterisk with Exchange Unified Messaging via sipX using large parts borrowed from: http://blog.lithiumblue.com/2007/04/accessing-exchange-2007-unified_29.html ... and everything works surprisingly well. The one problem I have is MWI, or a lack thereof. Exchange 2007 doesn't support MWI of any kind (!), so I've been looking into

all/any coerce their arguments to logical (if possible). I've added a warning in R-devel if coercion is from something other than integer. This arose because it is easy to make a slip and write all(X) > 0 rather than all(X > 0): thanks to Bill Dunlap for bringing that to my attention. However, it has been useful in detecting quite a few other things: - indices which had been made

These are some points stimulated by reading about C history (and related in their implementation). 1) On some platforms > as.integer("0xA") [1] 10 but not all (not on Solaris nor Windows). We do not define what is allowed, and rely on the OS's implementation of strtod (yes, not strtol). It seems that glibc does allow hex: C99 mandates it but C89 seems not to allow it. I

We say in ?points that 'pch' (among others) can be set to NA for omitting a point. While this works in cases where there's at least one point left to draw, it fails in a simple case like this : > plot(1, pch = NA) Error in plot.xy(xy.coords(x, y), type = type, pch = pch, col = col, bg = bg, : invalid plotting symbol Both in R-patched or R-devel. A simple workaround {hinting

This only happens if 'file' is a text connection, and is the expected behaviour in that case: you cannot capture an incomplete line to a text connection. There seems no reason to break the documented behaviour in other cases to change something that you consider to a bug when file=NULL and the user does not produce complete output. It would be possible to make use of isIncomplete()

R 1.4.0 ?stars has scale: logical flag: if `TRUE', the columns of the data matrix are scaled independently so that the maximum value in each column is 1 and the minimum is 0. If `FALSE', the presumption is that the data have been scaled by some other algorithm to the range [0,1]. but the code has if (scale) { x <- sweep(x, 2,